Automobile Black Box System for Accident Analysis using IOT

The Automobile Black Box System for Accident Analysis using Io Tis amodern solution aimed atim proving road safety through real-time monitoring and data collection.Inspired by the flight data recorders in aviation,this systemis designed to monitorand analyzecrucialvehicleparameters to detect,record, and report accidents or mishaps. The system integrates multiple sensors such as alcohol sensors, CO2 sensors, temperature sen- sors, ultra sonic sensors, collision sensors, anddoorsensors, which continuously track the vehicle’s environment and the driver’s behavior. Data from these sensors is processed by a central control unit, typically an Arduino or microcontroller, which communicatesthefindings through wireless networks usingGSM or Wi Fi technology. In case of an accident or abnormal event (such as alcohol detection or a collision), the system immediately triggers emergency notifications to predefined contacts and the relevant authorities, providing them with real-time information about thevehicle’s status,location,and sensorreadings.Furthermore,thesystemstoresalldata,enablingathoroughanal ysis oftheeventafter the incident.The collecteddatacanbe used for accident reconstruction, determining the cause of accidents, improving road safety measures, and even aiding insurance claims. The application of IoT in this context significantly enhancesthevehicle’ssafetybyenablingpreventiveact ions,quick accident responses, and comprehensive post-incident analysis. This system can be expanded to include advanced features suchas autonomous driving assistance, predictive maintenance, and vehicle health monitoring, ultimatelycontributingtosmarterand saferroads.

Authors

Publication Details

Journal
International Journal of Advances in Engineering and Management
Published
2025-03-01
DOI
https://doi.org/10.35629/5252-0703572579
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automobile Black Box System for Accident Analysis using IOT

Manisha Priyadarshini, Saurabh Kumar, K. Manoj, Sukumaran Sunitha et al.
International Journal of Advances in Engineering and Management
IoT and GPS-based Vehicle Safety Systems
article

Automobile Black Box System for Accident Analysis using IOT

Manisha Priyadarshini, Saurabh Kumar, K. Manoj, Sukumaran Sunitha, K Kumar, D. Lakshmi, N. Vijaya Sai, Dasari Navitha
article en

Abstract

The Automobile Black Box System for Accident Analysis using Io Tis amodern solution aimed atim proving road safety through real-time monitoring and data collection.Inspired by the flight data recorders in aviation,this systemis designed to monitorand analyzecrucialvehicleparameters to detect,record, and report accidents or mishaps. The system integrates multiple sensors such as alcohol sensors, CO2 sensors, temperature sen- sors, ultra sonic sensors, collision sensors, anddoorsensors, which continuously track the vehicle’s environment and the driver’s behavior. Data from these sensors is processed by a central control unit, typically an Arduino or microcontroller, which communicatesthefindings through wireless networks usingGSM or Wi Fi technology. In case of an accident or abnormal event (such as alcohol detection or a collision), the system immediately triggers emergency notifications to predefined contacts and the relevant authorities, providing them with real-time information about thevehicle’s status,location,and sensorreadings.Furthermore,thesystemstoresalldata,enablingathoroughanal ysis oftheeventafter the incident.The collecteddatacanbe used for accident reconstruction, determining the cause of accidents, improving road safety measures, and even aiding insurance claims. The application of IoT in this context significantly enhancesthevehicle’ssafetybyenablingpreventiveact ions,quick accident responses, and comprehensive post-incident analysis. This system can be expanded to include advanced features suchas autonomous driving assistance, predictive maintenance, and vehicle health monitoring, ultimatelycontributingtosmarterand saferroads.

International Journal of Advances in Engineering and ManagementVol. 7(3)
Openalex Percentile: Top 95%
IoT and GPS-based Vehicle Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.